
Numerical Methods in Industrial Forming Processes : Numiform 2023.
Title:
Numerical Methods in Industrial Forming Processes : Numiform 2023.
Author:
Kusiak, Jan.
ISBN:
9783031580062
Personal Author:
Edition:
1st ed.
Physical Description:
1 online resource (390 pages)
Series:
Lecture Notes in Mechanical Engineering Series
Contents:
Intro -- Preface -- Contents -- Analysis of Multiaxial Tensile Stresses in Cold Forging Tools -- 1 Introduction -- 2 Model Process -- 3 Validation of the Numerical Model -- 4 Analysis of the Stress State -- 5 Summary and Outlook -- References -- Reduced Three-Dimensional Model for Cold Rolling Simulation of Aluminium Alloys -- 1 Introduction -- 2 Modelling Approach -- 2.1 Modelling of the Cold Rolling Process -- 2.2 Modelling of Sensor-Based Strip Tensions -- 2.3 Three-Dimensional Cold Rolling Model Considering Strip Width -- 3 Model Verification and Validation -- 3.1 Verification of Sensor-Based Strip Tensions -- 3.2 Comparison of Reduced and Quarter Cold Rolling Model -- 3.3 Comparison with Industrial Pass Schedules -- 4 Conclusion and Outlook -- References -- Numerical and Experimental Investigation of Multi-axial Forging of AA6082 Alloy -- 1 Introduction -- 2 Materials and Methods -- 2.1 Material -- 2.2 Experimental Work -- 2.3 F.E. Simulation -- 3 Results and Discussion -- 3.1 Strain Distribution -- 3.2 Variation of Load in MAF -- 4 Conclusions -- References -- Evaluation of Forming Factors for Titanium Gr. 2 Alloy Sheets with Multistage SPIF Process -- 1 Introduction -- 2 Methodology -- 3 Result and Discussions -- 3.1 Section Thickness Distribution of Multistage Incremental Forming -- 3.2 Spring Back of Multistage Incremental Forming -- 3.3 Equivalent Plastic Strain (PEEQ) of Multistage Incremental Forming -- 4 Conclusions -- References -- Integration of Material Simulation to Extend the Accuracy of FEM Results for Metallic Forming Processes -- 1 Interconnection of Material Data and Forming Simulation -- 2 Material Data for the Calculation of the Flow Behavior -- 3 Recrystallization Model to Calculate Grain Size Evolution -- 4 Calculation of Phase Transformation -- 5 Summary -- References.
Optimization of the Heat Transfer Simulation Time During 3D Printing of PLA Material -- 1 Introduction -- 2 Modeling and Numerical Simulation -- 2.1 Modeling -- 3 Numerical Simulation of 3D Printing -- 4 Results and Discussions -- 5 Conclusion -- References -- Optimization of Process Variables in Warm Extrusion of a Mg-Al-Zn Alloy by Numerical Simulation -- 1 Introduction -- 2 Methodology -- 2.1 Material Selection -- 3 Simulation of Warm Extrusion -- 4 Variation of Warm Extrusion Process Parameters -- 5 Results and Discussion -- 5.1 FEM Simulations -- 6 Developing Empirical Relationships -- 7 Regression Equation -- 8 Checking the Adequacy of the Relationships -- 9 Effect of Process Parameters on Extrusion Load -- 10 Optimization of Process Parameters by Genetic Algorithm and Minitab Response Optimizer -- 11 Conclusion -- 12 Future Scope -- References -- Deformation of Elastically Inhomogeneous Solid Modelled with Diffuse Interface Approach -- 1 Introduction -- 2 Theory -- 3 Numerical Experiments -- 3.1 2D Elastic Deformation of Solid Containing Circular Inhomogeneity -- 4 Conclusions -- References -- Effect of Work Roll Surface Warming on Hot Strip Temperature Development in Industrial Scale Virtual Rolling Model -- 1 Introduction -- 2 Configuration and Results of FE-Model -- 2.1 Thermal Boundary Conditions of WR -- 2.2 FEM Simulations and Results -- 3 Work Roll Warming Model for the Fast Virtual Rolling Model -- 4 Results and Discussion -- 5 Conclusion -- References -- Soft Sensor Model of Phase Transformation During Flow Forming of Metastable Austenitic Steel AISI 304L -- 1 Introduction -- 2 Materials and Methods -- 2.1 Specimen Production by Means of Reverse Flow Forming -- 2.2 Procurement of Experimental Data -- 3 Results and Discussion -- 3.1 Wall Thickness, Roughness, α'-Martensite Content, and MBN Signals.
3.2 Correlation Between α'-Martensite, Mmax, and Feed Rate -- 3.3 Non-linear Regression by Means of Data-Fitting Optimization -- 3.4 Online Validation of Soft Sensor Model -- 3.5 Future Perspective for Application of Soft Sensor in Closed-Loop Property Control -- 4 Conclusions -- References -- Modeling the Morphology Evolution of Recrystallized Grains of Aluminum Alloys Under Oriented Growth and Anisotropic Dispersoid Pinning -- 1 Introduction -- 2 Model Setup -- 2.1 Cellular Automaton Framework -- 2.2 Boundary Migration Velocity -- 2.3 Microstructure Initialization for Annealing -- 3 Results and Discussion -- 3.1 Case 1 and 2: Oriented Growth Effect -- 3.2 Case 3 and 4: Anisotropic Pinning Effect -- 3.3 Recrystallized Textures -- 4 Conclusion -- References -- Information Extraction from Time Series in the EDM Drilling Process -- 1 Introduction -- 1.1 Background -- 1.2 Process Description -- 2 Methods of Feature Extraction from Time Series Data -- 2.1 Methodology of Analysis -- 2.2 Decision Trees -- 2.3 Random Forest -- 2.4 XGBoost Classifier -- 3 Data Description -- 3.1 Feature Extraction -- 3.2 Data Preparation -- 4 Results -- 4.1 Hypertuning -- 4.2 Models Comparison -- 5 Summary -- References -- Sensitivity Analysis and Formulation of the Inverse Problem in the Stochastic Approach to Modelling of Phase Transformations in Steels -- 1 Introduction -- 2 Stochastic Model of Phase Transformations -- 2.1 State of the Equilibrium -- 2.2 Nucleation of a New Phase -- 2.3 Kinetics of Transformations -- 3 Numerical Tests and Validation of the Stochastic Model -- 3.1 Selection of the Optimal Numerical Parameters -- 3.2 Sensitivity Analysis -- 4 Identification of the Coefficients in the Stochastic Model -- 4.1 Formulation of the Inverse Problem for the Stochastic Experimental Data.
4.2 Optimization with the Objective Function Based on the Measured and Calculated Average Values of Microstructural Parameters -- 4.3 Numerical Tests of the Inverse Analysis for the Stochastic Experimental Data -- 5 Results -- 6 Conclusions -- References -- Cold Forging of Hollow Shafts with Variable Wall Thickness by Means of an Adjustable Forming Zone -- 1 Introduction -- 2 Material and Methods -- 2.1 Flow Curves and Numerical Model -- 2.2 Experimental Setup -- 3 Results and Discussion -- 4 Conclusion and Outlook -- References -- Numerical and Experimental Analysis of the Influence of Manufacturing Parameters in Additive Manufacturing SLM-PBF on Residual Stress and Thermal Distortion in Parts of Titanium Alloy Ti6Al4V -- 1 Introduction -- 2 Materials and Methods -- 2.1 Equipment -- 2.2 Experimental Methodology -- 2.3 Computational Methodology -- 3 Results and Discussion -- 3.1 Experimental Thermal Distortions -- 3.2 Experimental Residual Stresses -- 3.3 Numerical Simulations -- 3.4 Analysis of Variance -- 4 Conclusions -- References -- Material Parameters Identification of Thin Fiber-Based Materials Using the Method of Machine Learning Exploiting Numerically Generated Simulation Data -- 1 Introduction -- 2 Materials and Methods -- 2.1 Material -- 2.2 Experimental Material Characterization -- 2.3 Paperboard Material Model and Parameters -- 2.4 Machine Learning (ML) for Parameters Identification -- 3 Results and Discussion -- 3.1 ML Modeling -- 3.2 Scaling of Parameters and Verification with Experimental Results -- 3.3 Discussion -- 4 Conclusion -- References -- Numerical Analysis of Inhomogeneous Parameters of Paperboard Using Tensile Tests -- 1 Introduction -- 2 Material and Methods -- 2.1 Material -- 2.2 Experimental Tensile Tests -- 2.3 Numerical Simulation -- 3 Model, Results, and Discussion -- 3.1 Material Modeling and Validation.
3.2 Analysis of Simulation Results -- 3.3 Discussion -- 4 Conclusion -- References -- Numerical Simulations of Friction Stir Spot Welding Process Using Coupled Eulerian-Lagrangian Approach -- 1 Introduction -- 2 Numerical Simulation -- 2.1 Experimental Setup -- 2.2 Geometry Configuration -- 2.3 Material Model -- 2.4 Contact and Boundary Conditions -- 3 Results and Discussions -- 3.1 Temperature Evolution -- 3.2 Thermal Heat-Affected Zone -- 4 Conclusion -- References -- Modeling of Viscoelasticity of Thermoplastic Polymers Employed in the Hot Embossing Process -- 1 Introduction -- 2 Description of HE Process and TLVP Model -- 2.1 Description of HE Process -- 2.2 Description of TLVP Model -- 3 Results of Experimental Characterization Tests -- 4 Results of Numerical Simulation -- 4.1 Results and Discussions of Mold Filling Ratio for PC and PMMA -- 4.2 Effect of Temperature on Mold Filling Ratio for PC -- 5 Conclusions -- References -- Effect of Welding Processes on Microstructure and Mechanical Properties of Laser-Welded Al-Si-Coated 22MnB5 Steel -- 1 Introduction -- 2 Experimental Procedure -- 2.1 Materials -- 2.2 Laser Welding Processes -- 2.3 Mechanical and Microstructural Characterization -- 3 Results and Discussion -- 3.1 Tensile Properties -- 3.2 Microhardness -- 3.3 Microstructure -- 4 Conclusions -- References -- Determining Critical Wall Angle in Micro-incremental Sheet Forming of SS316L Foils for Formability Assessment -- 1 Introduction -- 2 Work Methodology -- 2.1 Material and Experimental Details -- 2.2 Numerical Simulation -- 3 Results and Discussion -- 3.1 Formability Assessment of Formed Micro-components -- 3.2 Determination of Critical Wall Angle (αcr) and Critical Foil Thickness (tcr) -- 4 Conclusions -- References -- Numerical Analysis of Damage and Failure in Anisotropic Sheet Metals During Biaxial Loading -- 1 Introduction.
2 Constitutive Model.
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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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